분류 전체보기

Paper/Prediction and Tracking

SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

https://arxiv.org/abs/2111.09621 SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking 3D multi-object tracking (MOT) has witnessed numerous novel benchmarks and approaches in recent years, especially those under the "tracking-by-detection" paradigm. Despite their progress and usefulness, an in-depth analysis of their strengths and weaknesse arxiv.org Abstract 3D MOT methods는 4 part..

Code/Autoware

Autoware설치

https://github.com/autowarefoundation/autoware_ai_planning GitHub - autowarefoundation/autoware_ai_planning Contribute to autowarefoundation/autoware_ai_planning development by creating an account on GitHub. github.com https://medium.com/@eunji12llll/sroty-04-d584065f44d2 Autoware 기본 설치방법 Autoware 설치 명령어 medium.com sudo apt install -y python3-pip python3-colcon-common-extensions python3-setuptoo..

Code/preprocess

parquet2csv

import pandas as pd import argparse parser = argparse.ArgumentParser() parser.add_argument('--dir', required=True, help='dir address') #C/.../file.parquet parser.add_argument('--out', required=True, help='out address') #C/.../out.csv args = parser.parse_args() df = pd.read_parquet(args.dir, engine='pyarrow') df.to_csv(args.out, index=False)

Dataset/Argoverse2 dataset

Argoverse2 Motion Forecasting

https://www.argoverse.org/av2.html Argoverse 2 Public datasets supported by highly detailed maps to test, experiment, and teach self-driving vehicles how to understand the world around them. www.argoverse.org https://github.com/argoverse/av2-api GitHub - argoverse/av2-api: Argoverse 2: Next generation datasets for self-driving perception and forecasting. Argoverse 2: Next generation datasets for..

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